6 papers
Beat-Based Rhythm Quantization of MIDI Performances
Maximilian Wachter, Sebastian Murgul, Michael Heizmann
We propose a transformer-based rhythm quantization model that incorporates beat and downbeat information to quantize MIDI performances into metrically-aligned, human-readable score…
Exploring Procedural Data Generation for Automatic Acoustic Guitar Fingerpicking Transcription
Sebastian Murgul, Michael Heizmann
Automatic transcription of acoustic guitar fingerpicking performances remains a challenging task due to the scarcity of labeled training data and legal constraints connected with m…
Joint Transcription of Acoustic Guitar Strumming Directions and Chords
Sebastian Murgul, Johannes Schimper, Michael Heizmann
Automatic transcription of guitar strumming is an underrepresented and challenging task in Music Information Retrieval (MIR), particularly for extracting both strumming directions…
Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture
Sebastian Murgul, Michael Heizmann
Beat tracking in musical performance MIDI is a challenging and important task for notation-level music transcription and rhythmical analysis, yet existing methods primarily focus o…
Fine-Tuning MIDI-to-Audio Alignment using a Neural Network on Piano Roll and CQT Representations
Sebastian Murgul, Moritz Reiser, Michael Heizmann +1
In this paper, we present a neural network approach for synchronizing audio recordings of human piano performances with their corresponding loosely aligned MIDI files. The task is…
Fretting-Transformer: Encoder-Decoder Model for MIDI to Tablature Transcription
Anna Hamberger, Sebastian Murgul, Jochen Schmidt +1
Music transcription plays a pivotal role in Music Information Retrieval (MIR), particularly for stringed instruments like the guitar, where symbolic music notations such as MIDI la…